2018

Schnall, Andrea (2018):
Speaker adaptation for word prominence detection.
In: Berichte aus der Informationstechnik, Aachen, Shaker Verlag, TU Darmstadt, ISBN 978-3-8440-5921-2,
[Dissertation]

2016

Schnall, Andrea ; Heckmann, Martin (2016):
Speaker adaptation for support vector machine-based word prominence detection.
S. 272-276, Speech Prosody 2016, [Konferenzveröffentlichung]

Schnall, Andrea ; Heckmann, Martin (2016):
Balancing gaussianity and sparseness in feature-space speaker adaptation for word prominence detection.
ITG Conference on Speech Communication, Paderborn, Germany, 2016, [Konferenzveröffentlichung]

Schnall, Andrea ; Heckmann, Martin (2016):
Comparing speaker independent and speaker adapted classification for word prominence detection.
IEEE Spoken Language Technology Workshop (SLT), San Diego, California, USA, 2016, [Konferenzveröffentlichung]

2015

Schnall, Andrea ; Heckmann, Martin (2015):
Evaluation of optical flow field features for the detection of word prominence in a human-machine interaction scenario.
International Joint Conference on Neural Networks, Killarney, Ireland., 12-17 July 2015, [Konferenzveröffentlichung]

2014

Schnall, Andrea ; Heckmann, Martin (2014):
Integrating Sequence Information in the Audio-visual Detection of Word Prominence in a Human-machine Interaction Scenario.
S. 2640-2644, INTERSPEECH 2014, Singapore, 14-18 September 2014, [Konferenzveröffentlichung]

2013

Guthier, Thomas ; Willert, Volker ; Schnall, Andrea ; Kreuter, Karel ; Eggert, Julian (2013):
Non-negative Sparse Coding for Motion Extraction.
IEEE International Joint Conference on Neural Networks, Dallas, Texas, [Konferenzveröffentlichung]